Quandl is the easiest way to find and use numerical data on the internet.

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ORIGINAL: Quandl

Quandl is the easiest way to find and use numerical data on the internet.

Quandl has indexed over 5 million time-series datasets from over 400 sources. All of Quandl’s datasets are open and free.

You can download any Quandl dataset in any format that you want. You can also visualize, save, share, authenticate, validate, upload, index, merge and transform data .

Our long-term goal is to make all the numerical data on the internet easy to find and easy to use.

Further Reading

Learn more about Quandl:

  • Quandl’s long-term goal is to make all the numerical data on the internet easy to find and easy to use. Read more on our vision page.
  • Quandl currently has over 5 million datasets from over 400 sources. Explore Quandl’s data on our sources page.
  • Every dataset on Quandl is available via a simple and consistent API.
  • You can also access Quandl data using our R, Python, Matlab, Excel, Maple, Julia, Clojure, and Stata packages.
  • Check out what’s new on Quandl (data, features, topics) on our news page.
  • Explore Quandl’s features and what’s in the development pipeline. If you have suggestions, please email us.
  • Learn how developers are building innovative applications that use the Quandl data platform, on our partners page.
  • Questions or comments? Try our FAQ or email us.
  • Quandl is a collaborative project. Find out how you can get involved on our community page.

Quick Links: Vision | Sources | API | Packages | News | Features | Pipeline | FAQ | Community

Quandl is an index. It is a conduit to data published on various locations on the internet. Like any search engine, Quandl makes no claim to own the data it indexes or caches. Quandl endeavours to respect copyright. If you believe this site is indexing your copyright data and you would rather it not do so we have a simple take-down mechanism in place.

Contact Us

We’d love to hear from you. Email us with your comments, suggestions and feedback.

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